Maximum Likelihood Estimation

S. Purcell.


Contents and Keywords

  1. Introduction
    • probability
    • models
    • parameters
    • conditional probability
    • binomial probability distribution
  2. Model-fitting
    • likelihood
    • maximum likelihood estimation
    • parameter space
  3. MLE in Practice
    • analytic approachs
    • numerical optimsiation algorithms
    • log-likelihood
    • identification
    • local minima
  4. Likelihood ratio test
    • alternate and null hypothesis
    • chi-squared
    • significance testing
    • degrees of freedom
  5. MLE analysis of twin data
    • normal distribution
    • multivariate normal distribution
    • covariance structure
    • reparameterisation
  6. MLE analysis of linkage data
    • recombination
    • recombination fraction (theta)
    • lod score

Further Reading

Edwards AWF (1972) Likelihood. Cambridge University Press.
Sham PC (1998) Statistics in Human Genetics. Arnold


Site created by S.Purcell, last updated 20.05.2007